Weights2-class {TeachNet}

Weights2 objects

Description

Contains the weights for a two hidden layer neural network in TeachNet the here cold "Arguments" are the slots in the S4 class Weights2

Arguments

alpha

Intercept from output layer

alpha_1m

Intercept from hidden layer

alpha_2h

Intercept from second hidden layer

w_h

Weights from second hidden layer to output layer

q_mh

Weights from first hidden layer to second hidden layer

w_im

Weights from input layer to first hidden layer

Author(s)

Georg Steinbuss

See Also

Weights-class

Examples

M <- 3 # number of neurons in first hidden layer
H <- 3 # number of neurons in second hidden layer
I <- 6 # number of inputs

random_weights <- new("Weights2", alpha = rnorm(1), alpha_1m = rnorm(M), alpha_2h = rnorm(H), 
                      w_h = rnorm(H), q_mh = matrix(nrow=M,ncol=H, data=rnorm(M*H)),
                      w_im = matrix(nrow=I,ncol=M, data=rnorm(I*M)))